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import gradio as gr | |
from hf_mixtral_agent import agent_executor | |
from innovation_pathfinder_ai.source_container.container import ( | |
all_sources | |
) | |
from innovation_pathfinder_ai.utils.utils import extract_urls | |
from innovation_pathfinder_ai.utils import logger | |
from innovation_pathfinder_ai.utils.utils import ( | |
generate_uuid | |
) | |
from langchain_community.vectorstores import Chroma | |
import chromadb | |
import dotenv | |
import os | |
dotenv.load_dotenv() | |
logger = logger.get_console_logger("app") | |
def initialize_chroma_db() -> Chroma: | |
collection_name=os.getenv("CONVERSATION_COLLECTION_NAME") | |
client = chromadb.PersistentClient() | |
collection = client.get_or_create_collection( | |
name=collection_name, | |
) | |
return collection | |
if __name__ == "__main__": | |
current_id = generate_uuid() | |
db = initialize_chroma_db() | |
def add_text(history, text): | |
history = history + [(text, None)] | |
return history, "" | |
def bot(history): | |
response = infer(history[-1][0], history) | |
sources = extract_urls(all_sources) | |
src_list = '\n'.join(sources) | |
response_w_sources = response['output']+"\n\n\n Sources: \n\n\n"+src_list | |
history[-1][1] = response_w_sources | |
return history | |
def infer(question, history): | |
query = question | |
result = agent_executor.invoke( | |
{ | |
"input": question, | |
"chat_history": history | |
} | |
) | |
db.add( | |
ids=[current_id], | |
documents=[result['output']], | |
metadatas=[ | |
{ | |
"query":query, | |
"intermediate_steps":result['intermediate_steps'].__str__() | |
} | |
] | |
) | |
return result | |
def vote(data: gr.LikeData): | |
if data.liked: | |
print("You upvoted this response: " + data.value) | |
else: | |
print("You downvoted this response: " + data.value) | |
css=""" | |
#col-container {max-width: 700px; margin-left: auto; margin-right: auto;} | |
""" | |
title = """ | |
<div style="text-align: center;max-width: 700px;"> | |
<p>Hello Dave, how can I help today?<br /> | |
</div> | |
""" | |
with gr.Blocks(theme=gr.themes.Soft()) as demo: | |
with gr.Tab("Google|Wikipedia|Arxiv"): | |
with gr.Column(elem_id="col-container"): | |
gr.HTML(title) | |
with gr.Row(): | |
question = gr.Textbox(label="Question", placeholder="Type your question and hit Enter ") | |
chatbot = gr.Chatbot([], elem_id="chatbot") | |
chatbot.like(vote, None, None) | |
clear = gr.Button("Clear") | |
question.submit(add_text, [chatbot, question], [chatbot, question], queue=False).then( | |
bot, chatbot, chatbot | |
) | |
clear.click(lambda: None, None, chatbot, queue=False) | |
demo.queue() | |
demo.launch(debug=True, share=True) | |
x = 0 # for debugging purposes |